From Statistics to Neural Networks : Theory and Pattern Recognition Applications

The NATO Advanced Study Institute From Statistics to Neural Networks, Theory and Pattern Recognition Applications took place in Les Arcs, Bourg Saint Maurice, France, from June 21 through July 2, 1993. The meeting brought to­ gether over 100 participants (including 19 invited lecturers) from 20 coun...

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Corporate Author: SpringerLink (Online service)
Other Authors: Cherkassky, Vladimir (Editor), Friedman, Jerome H. (Editor), Wechsler, Harry (Editor)
Format: eBook
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1994, 1994
Edition:1st ed. 1994
Series:Nato ASI Subseries F:, Computer and Systems Sciences
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • A Condensed Discussion
  • Prediction Risk and Architecture Selection for Neural Networks
  • Regularisation Theory, Radial Basis Functions and Networks
  • Self-Organizing Networks for Nonparametric Regression
  • Neural Preprocessing Methods
  • Improved Hidden Markov Models for Speech Recognition Through Neural Network Learning
  • Neural Network Architectures for Pattern Recognition
  • Cooperative Decision Making Processes and Their Neural Net Implementation
  • Associative Memory Networks and Sparse Similarity Preserving Codes
  • Multistrategy Learning and Optim